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auto_autodock-gpu icon auto_autodock-gpu

Tools that help high-throughput protein-ligand docking in batch mode using AutoDock-GPU.

bio-transformers icon bio-transformers

bio-transformers is a wrapper on top of the ESM/Protbert model, trained on millions on proteins and used to predict embeddings.

chemfilter icon chemfilter

Desktop app for using Transformer-CNN ADMETox models

deepchem icon deepchem

Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology

diffsbdd icon diffsbdd

A Euclidean diffusion model for structure-based drug design.

etoxpred icon etoxpred

A simple tool to predict the general toxicity and calculate the synthesize accessibility (SA) score for small molecules.

fast-nw-and-sw-pairwise-alignment-using-numba-jit icon fast-nw-and-sw-pairwise-alignment-using-numba-jit

This project includes Needleman-Wunsch and Smith-Waterman algorithms and their afine gap variations (Gotoh) written to work with Cython, PyPy and Numba. Numba JIT shows greater performance. For Best performance use gotoh_jit.py to get only the best score and use gotoh_jit_traceback to get the best alignment

glycosylator icon glycosylator

Framework for the rapid modeling glycans and glycoproteins.

gpmodel icon gpmodel

Functions and classes for doing Gaussian process models of proteins

grover icon grover

This is a Pytorch implementation of the paper: Self-Supervised Graph Transformer on Large-Scale Molecular Data

mmseqs2 icon mmseqs2

MMseqs2: ultra fast and sensitive search and clustering suite

moleculartransformerembeddings icon moleculartransformerembeddings

Code and data for the Transformer neural network trained to translate between molecular text representations and create molecular embeddings.

openmm-pmf icon openmm-pmf

Code for computing PMFs. Directly used to compute ion diffusion barriers through pores in graphene sheets.

promotech icon promotech

Machine-learning-based general bacterial promoter prediction tool.

tf-bind-transformer icon tf-bind-transformer

A repository with exploration into using transformers to predict DNA ↔ transcription factor binding

transdti icon transdti

TransDTI: Transformer-based language models for estimating DTIs and building a drug-recommendation workflow

transvae icon transvae

A Transformer Based VAE Architecture for De Novo Molecular Design

vina-gpu icon vina-gpu

A heterogeneous OpenCL implementation of AutoDock Vina

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